Papers by Pratap Panigrahi
Machine learning assessment of IoT managed microgrid protection in existence of SVC using wavelet methodology
AIMS electronics and electrical engineering, 2022
In the last decade, research has been started due to accelerated growth in power demand has mainl... more In the last decade, research has been started due to accelerated growth in power demand has mainly concentrated on the large power production and quality of power. After the digital revolution, non-conventional energy sources, many state-of-art equipment, power electronics loads, reactive power compensating devices, sophisticated measuring devices, etc., entered the power industry. The reactive power compensating devices, connected electrical equipment, renewable energy sources can be anticipated/unanticipated action can cause considerable reactions may be failure issues to power grids. To deal with these challenges, the power sector crucially needs to design and implement new security systems to protect its systems. The Internet-of-Things (IoT) is treated as revolution technology after the invention of the digital machine and the internet. New developments in sensor devices with wireless technologies through embedded processors provide effective monitoring and different types of faults can be detected during electric power transmission. The wavelet (WT) is one of the mathematical tools to asses transient signals of different frequencies and provides crucial information in the form of detailed coefficients. Machine learning (ML) methods are recommended in the power systems community to simplify digital reform. ML and AI techniques can make effective and rapid decisions to improve the stability and safety of the power grid. This recommended approach can contribute critical information about symmetrical or asymmetrical faults through machine learning assessment of IoT supervised microgrid protection in the presence of SVC using the wavelet approach covers diversified types of faults combined with fault-inception-angles (FIA).
Realization of Silicon based Optical Sensor for Investigating the Quality of Mines Water: A Proposal for Environmental Monitoring Sensing Device
2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)
Solar energy has attended an extensive acceptance for its ability to generate electricity and eco... more Solar energy has attended an extensive acceptance for its ability to generate electricity and eco-friendly nature, which is beneficial to the environment and prevents harmful effects due to the use of fossil fuels. Power generation from solar resources is definitely a boon, but it is liable to its availability and variation due to changing factors such as irradiation, temperature, shading conditions, etc. The economic feasibility of this system is also dependent on its operating conditions. Maximum Power Point Tracking (MPPT) has been used in different ways to lessen the effect of atmospheric changes. Partial shading conditions (PSC) are one of the major causes of the MPP change in photovoltaic systems. There are utmost algorithms suggested to track the global peak, but due to certain factors, they are unable to track it successfully under PSCs. This conventional MPPT control technique has some crucial routine drawbacks, such as high tracking, settling times and oscillations at glob...
Demand side management integrated intelligence algorithms for dynamic economic emission dispatch of distribution systems
2022 IEEE 6th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)
Enhancing the Performance of Power Compensating Device (UPQC) with Sinusoidal Current Control Strategy
2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)
Application of SCA Tuned FFOPI Controller for LFC of Nonlinear Power System
2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)
The present research focuses on two dimensional L-shape waveguide for the realisation of optical ... more The present research focuses on two dimensional L-shape waveguide for the realisation of optical interconnect at the signal of 1550 nm, which will help for the transformation of signals from one chip to another. In this article, graphene based light emitting diode generates the wavelength of 1550 nm, where PIN photodiode converts the optical signal (wavelength 1550 nm) to its electrical counterpart. The proposed wave guide (11×11 silicon rods) with L shape defect allows the signal from source to detector. The principle of mechanism relies on the propagation of field along with the defect path which is made through finite difference time domain method. Moreover, there is no loss associated with the structure during the transformation of signals. The computational result infers that the efficiency of LED is about 99.98 % where the efficiency of photodiode is 99.94 %. Finally, the suggested silicon based waveguide acts as a good candidate for the realisation of an efficient optical int...
Control and Protection of Hybrid Smart-grid Power System: A Review
2020 IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), 2020
With the emergence of distributed generation the idea of smart microgrid is gaining popularity. S... more With the emergence of distributed generation the idea of smart microgrid is gaining popularity. Smart microgrid control and protection techniques are an emerging field of research. DC smart microgrids have shown prevalence over AC smart microgrids with respect to quality, productivity, control, sustainable energy sources, and association of DC loads. A huge volume of articles have been reviewed on the control strategies of the microgrids. The control of smart microgrids contains three categories, which are primary, auxiliary, and tertiary control layers. Design and protection for DC microgrids are vast challenges. In this paper, the protections of DC microgrids are investigated from a number of elements including DC fault current, grounding systems, methods of fault detection, and self-protective devices. The DC microgrid has emerged as a normal distribution network due to its brilliant performance. This paper reviewed and listed protection and control strategies, which help researchers to have awareness on DC microgrid safety and control.
Intelligence Based Approach for Obtaining Trade-Off Solution Between Minimal Pollution and Cost of a Dynamic System
Lecture notes in networks and systems, 2023
Optimal Relay Coordination and optimization in Distributed generation based Power System
2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)
Economic Sizing of Grid for The Efficient Operation Of A Microgrid System
2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)
A novel metaheuristic approach to scale the economic impact of grid participation on a microgrid system
Sustainable Energy Technologies and Assessments
Optimized DHT-RBF model as replacement of ARMA-RBF model for wind power forecasting
2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN), 2013
ARMA-Neural model is an established useful model for the Wind Power forecasting purpose. In the c... more ARMA-Neural model is an established useful model for the Wind Power forecasting purpose. In the current work we introduced Discrete Hilbert Transform (DHT)-Neural Model which provides better result than the ARMA-Neural Model. We know that a signal and its' DHT produces the same Energy Spectrum. Based on this concept in this paper DHT is used for Wind Speed forecasting purpose. Thereafter the RBF neural network is used on this to forecast wind power. Taking the data of measured wind speed from Weather Forecasting Bureau Report as example, we validate the method described above.
Detection and diagnosis of islanding using artificial intelligence in distributed generation systems
Sustainable Energy, Grids and Networks, 2021
Smart Battery Management Scheme for V2G Based EV Smart Charger – A Better approach of Allocation of EV Based Distributed Generation
2020 IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), 2020
Due to the encouraging characteristics in decreasing CO2 gas emissions, electric vehicles (EV) ha... more Due to the encouraging characteristics in decreasing CO2 gas emissions, electric vehicles (EV) have acknowledged vast support in recent years. One of the clear ideas is that electric vehicle function as a distributed energy source and provide additional services to the electricity grid. In the vehicle-to-grid (V2G) model, collection of EV is used for the delivery of energy services, including supplementary services to the grid. Contribution in the V2G outline may involve supplementary charge and discharge of the EV batteries. Vehicle to grid can provide the distributed stored power in terms of rotatory reserve power to the utility grid. V2G power has the potential to revive the frequency deviance observed at the charging terminal and the required battery SOC (State-of-Charge). In case of grouping an enormous number of electric vehicles at a distribution utility grid bus, operation in V2G mode may be used for grid support during faulty situations. In this paper, the proposed vehicle control procedure scheme is executed to an electric vehicle and battery charging system. The results describe the proposed smart battery energy management prediction service considerably reduces the actual number of communications of electric vehicles with charging units and grid as well as forecasting the load demand. Simulation results show that the suggested method significantly performed the rule-based method.
Power quality improvement in a photovoltaic based microgrid integrated network using multilevel inverter
International Journal of Emerging Electric Power Systems, 2021
The increasing use of power electronics devices as well as the integration of renewable source-ba... more The increasing use of power electronics devices as well as the integration of renewable source-based microgrids (MG) has seriously affects the power quality (PQ) of the three-phase power system. Therefore, for the improvement of PQ, it is required to reduce the total harmonics distortion (THD) in the utility network. In this work, the improvement of PQ is discussed in a photovoltaic (PV) based MG integrated three-phase system using a three-level H-bridge (3LHB) multilevel inverter (MI). The MI is used for compensating the source current harmonics and reducing the THD by meeting the IEEE standard guidelines. Besides, the proposed model helps manage the reactive power with control of DC link bus voltage through the PV system. The proposed model is helpful not only in reducing the harmonics but also in providing additional active power to the load if any electrical disturbances occur on the grid side. The maximum power point tracking (MPPT) technique employed in PV is of an improved fo...
IET Science, Measurement & Technology, 2017
This study proposes the design of two efficient nature inspired intelligent optimal controllers, ... more This study proposes the design of two efficient nature inspired intelligent optimal controllers, flower pollination algorithm (FPA) and bat algorithm (BA) for obtaining optimal path using an autonomous mobile robot in an unknown environment. FPA is based on the pollination process of flowering plants, which transfer pollens by using different pollinators. On the contrary, BA depends on echolocation and frequency tuning to solve different types of optimisation problems in engineering. To accomplish the path-planning task of mobile robot autonomously, a fitness function has been introduced considering the distance between robot-obstacle and robot-goal to satisfy the conditions of obstacle avoidance and goal reaching behaviour of robot. Based on the values of objective function of the algorithms, mobile robot avoids obstacles in the unknown environment and moves towards the goal. In this work, the efficiency of such controllers is verified using some simulations in MATLAB environment. Further, an experimental work is carried out in real-world environment using ARDUINO Mega 2560 microcontroller to ascertain the path length, travelling time and convergence speed of the two algorithms.
Serbian Journal of Electrical Engineering, 2016
This paper addresses the performance comparison of Radial Basis Function Neural Network (RBFNN) w... more This paper addresses the performance comparison of Radial Basis Function Neural Network (RBFNN) with novel Wavelet Neural Network (WNN) of designing intelligent controllers for path planning of mobile robot in an unknown environment. In the proposed WNN, different types of activation functions such as Mexican Hat, Gaussian and Morlet wavelet functions are used in the hidden nodes. The neural networks are trained by an intelligent supervised learning technique so that the robot makes a collision-free path in the unknown environment during navigation from different starting points to targets/goals. The efficiency of two algorithms is compared using some MATLAB simulations and experimental setup with Arduino Mega 2560 microcontroller in terms of path length and time taken to reach the target as an indicator for the accuracy of the network models.
Journal of Green Engineering, Jan 31, 2012
This paper presents the current scenario of energy availability in a typical rural telecom system... more This paper presents the current scenario of energy availability in a typical rural telecom system and proposes green energy utilization in rural telecom sector in India. The paper discusses the renewable energy source as the best alternative for rural telecom to supply the required load at any given time. The technical suitability and financial viability of using green energy sources to meet energy demands is also discussed.
A Perfomance Comparision of Intelligent Mobile Robot Navigation Using Fuzzy logic And PNN
2015 Fifth International Conference on Advanced Computing Communication Technologies, Jan 14, 2015
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Papers by Pratap Panigrahi